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Smart Sensors and IoT for Human Health Monitoring
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Smart Sensors and IoT for Human Health Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 4501

Special Issue Editors

Dr. Octavian Postolache

E-Mail Website
Guest Editor
Instituto de Telecomunicações, Universidade de Aveiro Campus Universitário de, R. Santiago, 3810-193 Aveiro, Portugal
Interests: internet of medical things; remote sensing solutions for healthcare; embedded AI for healthcare; smart sensors; virtual reality and mixed reality for healthcare
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Francisco Javier Ferrero Martín

E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, University of Oviedo, 33204 Gijon, Spain
Interests: smart sensors; embedded systems; biomedical signal processing
Special Issues, Collections and Topics in MDPI journals
Dr. Alberto López Martínez

E-Mail Website
Guest Editor
Department of Electrical Engineering, University of Oviedo, 33204 Gijon, Spain
Interests: assistance systems; electrooculography; biopotentials; diagnosis; healthcare; signal processing

Special Issue Information

Dear Colleagues,

IoT ecosystems are part of our everyday life and are the main contributors to our society’s digital transformation. As part of the IoT ecosystem, smart sensors can be considered as one of the main gateways on the digital chain. Considering the major challenges of our society, healthcare services optimization and availability for users around the world can be one of them. Pro-activity through human health monitoring using new technologies such as smart sensors, IoT, edge and cloud computing and data science implementations can ensure high quality healthcare services for reduced costs. In this context, real-time monitoring can include online data processing and analysis of physiological parameters, but also the information about daily life people behavior. Thus, wearable but also remote smart sensing solutions are used to produce data that will be applied to artificial intelligence modules supported on edge or cloud computation platforms to perform health status classifications, stress level estimation, human health prediction, behavior changes, and models associated with human physical and/or mental health. We invite authors to submit contributions to this Special Issue that cover all aspects of smart sensing and IoT ecosystem components regarding:

  • Wearable smart sensors;
  • Remote sensing: radar, IR, ultrasound, thermography;
  • IoT frameworks for healthcare;
  • Real-time detection of critical events: fall detection, stroke;
  • Embedded artificial intelligence;
  • Mobile computing for human health monitoring.

Dr. Octavian Postolache
Prof. Dr. Francisco Javier Ferrero Martín
Dr. Alberto López Martínez
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (3 papers)

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Research

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17 pages, 6218 KiB  
Article
Development and Validation of an IoT Neurostimulator for the Treatment of Neurogenic Bladder
by Luana Cecilia Farache Lemos Leal, Luiz Henrique Bertucci Borges, Maria Eduarda Franklin da Costa De Paula, Lilian Lira Lisboa and André Felipe Oliveira de Azevedo Dantas
Sensors 2023, 23(22), 9284; https://doi.org/10.3390/s23229284 - 20 Nov 2023
Viewed by 952
Abstract
Neurogenic bladder is a dysfunction in the lower urinary tract due to damage to the nervous system. One of the treatments that has shown important results is transcutaneous neuromodulation. The neuromodulation equipment available on the market does not allow remote activation or offer [...] Read more.
Neurogenic bladder is a dysfunction in the lower urinary tract due to damage to the nervous system. One of the treatments that has shown important results is transcutaneous neuromodulation. The neuromodulation equipment available on the market does not allow remote activation or offer many resources for adjusting the parameters of the generated stimulus, as most devices operate with pre-established parameters in closed packages. For this reason, customizing therapy for each individual can be difficult. Therefore, the objective was to develop and validate a neuromodulation device capable of being remotely programmed and properly monitored. Materials and methods for validating devices were used according to the Brazilian Regulatory Standard (NBR), which deals with general requirements for the basic safety and essential performance of electromedical devices. After verifying the reliability of the device, which was capable of generating a biphasic and symmetrical wave, measured by an oscilloscope, considered safe by the technical requirements, it was tested in a real application. Users reported feeling a comfortable stimulus, similar to other previously used devices, and considered the device easy to use. In this way, it was possible to demonstrate the reliability and validity of the developed device. Full article
(This article belongs to the Special Issue Smart Sensors and IoT for Human Health Monitoring)
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Review

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29 pages, 3607 KiB  
Review
An Era of Digital Healthcare—A Comprehensive Review of Sensor Technologies and Telehealth Advancements in Chronic Heart Failure Management
by Tejaswini Manavi, Haroon Zafar and Faisal Sharif
Sensors 2024, 24(8), 2546; https://doi.org/10.3390/s24082546 - 16 Apr 2024
Viewed by 434
Abstract
Heart failure (HF) is a multi-faceted, complex clinical syndrome characterized by significant morbidity, high mortality rate, reduced quality of life, and rapidly increasing healthcare costs. A larger proportion of these costs comprise both ambulatory and emergency department visits, as well as hospital admissions. [...] Read more.
Heart failure (HF) is a multi-faceted, complex clinical syndrome characterized by significant morbidity, high mortality rate, reduced quality of life, and rapidly increasing healthcare costs. A larger proportion of these costs comprise both ambulatory and emergency department visits, as well as hospital admissions. Despite the methods used by telehealth (TH) to improve self-care and quality of life, patient outcomes remain poor. HF management is associated with numerous challenges, such as conflicting evidence from clinical trials, heterogeneity of TH devices, variability in patient inclusion and exclusion criteria, and discrepancies between healthcare systems. A growing body of evidence suggests there is an unmet need for increased individualization of in-hospital management, continuous remote monitoring of patients pre and post-hospital admission, and continuation of treatment post-discharge in order to reduce re-hospitalizations and improve long-term outcomes. This review summarizes the current state-of-the-art for HF and associated novel technologies and advancements in the most frequently used types of TH (implantable sensors), categorizing devices in their preclinical and clinical stage, bench-to-bedside implementation challenges, and future perspectives on remote HF management to improve long-term outcomes of HF patients. The Review also highlights recent advancements in non-invasive remote monitoring technologies demonstrated by a few pilot observational prospective cohort studies. Full article
(This article belongs to the Special Issue Smart Sensors and IoT for Human Health Monitoring)
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Other

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30 pages, 526 KiB  
Systematic Review
Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review
by Mohammad Mobarak Hossain, Mohammod Abul Kashem, Md. Monirul Islam, Md. Sahidullah, Sumona Hoque Mumu, Jia Uddin, Daniel Gavilanes Aray, Isabel de la Torre Diez, Imran Ashraf and Md Abdus Samad
Sensors 2023, 23(23), 9367; https://doi.org/10.3390/s23239367 - 23 Nov 2023
Cited by 1 | Viewed by 2416
Abstract
The Internet of Things (IoT) has positioned itself globally as a dominant force in the technology sector. IoT, a technology based on interconnected devices, has found applications in various research areas, including healthcare. Embedded devices and wearable technologies powered by IoT have been [...] Read more.
The Internet of Things (IoT) has positioned itself globally as a dominant force in the technology sector. IoT, a technology based on interconnected devices, has found applications in various research areas, including healthcare. Embedded devices and wearable technologies powered by IoT have been shown to be effective in patient monitoring and management systems, with a particular focus on pregnant women. This study provides a comprehensive systematic review of the literature on IoT architectures, systems, models and devices used to monitor and manage complications during pregnancy, postpartum and neonatal care. The study identifies emerging research trends and highlights existing research challenges and gaps, offering insights to improve the well-being of pregnant women at a critical moment in their lives. The literature review and discussions presented here serve as valuable resources for stakeholders in this field and pave the way for new and effective paradigms. Additionally, we outline a future research scope discussion for the benefit of researchers and healthcare professionals. Full article
(This article belongs to the Special Issue Smart Sensors and IoT for Human Health Monitoring)
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